no code implementations • 6 Oct 2015 • Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek, Sebastian Keller, David Adametz, Volker Roth
This paper considers a Bayesian view for estimating a sub-network in a Markov random field.
no code implementations • NeurIPS 2014 • David Adametz, Volker Roth
We present an inference method for Gaussian graphical models when only pairwise distances of n objects are observed.
no code implementations • NeurIPS 2011 • David Adametz, Volker Roth
A Bayesian approach to partitioning distance matrices is presented.